Exsilico
The autonomous lab for materials research.
We are building autonomous labs that run experiments 24/7. Our AI models, robotics and automated lab systems will help scientists invent new materials and bring them to market faster.
The lab
More science. Less hands-on lab work.
Materials and chemistry R&D is limited by how much lab work scientists can do. AI can help plan experiments and analyse results, but preparing samples, loading instruments and monitoring runs still take human hands. We are building the lab that does that work.
- Make
- Robotics to prepare samples, mix formulations and load instruments.
- Measure
- Automated systems to monitor runs, collect measurements and send the results back to the models.
- Choose
- Models to use those results to choose the next experiment, with scientists directing the research.
Materials
More experiments. New materials.
Developing a material takes repeated cycles of making, measuring and adjusting. We are choosing our first materials systems, starting with candidates where many small experiments can guide the next formulation.
Small additions to electrolyte formulations, tested for their effect on battery performance.
Candidate research areas. Our first materials systems are still being selected.
Models
AI that can do the lab work.
We are developing scientific models to guide experiments and physical AI models to carry them out. Our team combines a scientific background with experience in language models, simulation, world models and robotics.
We are designing the models, robots and instruments together, so an experiment can go from a plan to a physical run and back to a result.
Our goal
From experiments to products.
We want to use our autonomous labs to invent new materials and bring products to market. We are focused on fields that depend on repeated experimentation: energy storage, semiconductors, optics and high-performance aerospace materials.